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Showing content from https://github.com/docker/compose-for-agents below:

docker/compose-for-agents: Build and run AI agents using Docker Compose. A collection of ready-to-use examples for orchestrating open-source LLMs, tools, and agent runtimes.

Docker Desktop 4.43.0+ or Docker Engine installed.
A laptop or workstation with a GPU (e.g., a MacBook) for running open models locally. If you don't have a GPU, you can alternatively use Docker Offload.
If you're using Docker Engine on Linux or Docker Desktop on Windows, ensure that the Docker Model Runner requirements are met (specifically that GPU support is enabled) and the necessary drivers are installed.
If you're using Docker Engine on Linux, ensure you have Docker Compose 2.38.1 or later installed.

Each of these demos is self-contained and can be run either locally or using a cloud context. They are all configured using two steps.

change directory to the root of the demo project
create a .mcp.env file from the mcp.env.example file (if it exists, otherwise the demo doesn't need any secrets) and supply the required MCP tokens
run docker compose up --build

The demos support using OpenAI models instead of running models locally with Docker Model Runner. To use OpenAI:

Create a secret.openai-api-key file with your OpenAI API key:

Start the project with the OpenAI configuration:

docker compose -f compose.yaml -f compose.openai.yaml up

Compose for Agents Demos - Classification Demo Agent System Models MCPs project compose A2A Multi-Agent Fact Checker Multi-Agent OpenAI duckduckgo ./a2a compose.yaml Agno agent that summarizes GitHub issues Multi-Agent qwen3(local) github-official ./agno compose.yaml Vercel AI-SDK Chat-UI for mixing MCPs and Model Single Agent llama3.2(local), qwen3(local) wikipedia-mcp, brave, resend(email) ./vercel compose.yaml CrewAI Marketing Strategy Agent Multi-Agent qwen3(local) duckduckgo ./crew-ai compose.yaml ADK Multi-Agent Fact Checker Multi-Agent gemma3-qat(local) duckduckgo ./adk compose.yaml ADK & Cerebras Golang Experts Multi-Agent unsloth/qwen3-gguf:4B-UD-Q4_K_XL & ai/qwen2.5:latest (DMR local), llama-4-scout-17b-16e-instruct (Cerebras remote) ./adk-cerebras compose.yml LangGraph SQL Agent Single Agent qwen3(local) postgres ./langgraph compose.yaml Embabel Travel Agent Multi-Agent qwen3, Claude3.7, llama3.2, jimclark106/all-minilm:23M-F16 brave, github-official, wikipedia-mcp, weather, google-maps, airbnb ./embabel compose.yaml and compose.dmr.yaml Spring AI Brave Search Single Agent none duckduckgo ./spring-ai compose.yaml

This repository is dual-licensed under the Apache License 2.0 or the MIT License. You may choose either license to govern your use of the contributions made by Docker in this repository.

ℹ️ Note: Each example under may have its own LICENSE file. These are provided to reflect any third-party licensing requirements that apply to that specific example, and they must be respected accordingly.

SPDX-License-Identifier: Apache-2.0 OR MIT

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